| /* |
| * Copyright (c) 2017-2019 ARM Limited. |
| * |
| * SPDX-License-Identifier: MIT |
| * |
| * Permission is hereby granted, free of charge, to any person obtaining a copy |
| * of this software and associated documentation files (the "Software"), to |
| * deal in the Software without restriction, including without limitation the |
| * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| * sell copies of the Software, and to permit persons to whom the Software is |
| * furnished to do so, subject to the following conditions: |
| * |
| * The above copyright notice and this permission notice shall be included in all |
| * copies or substantial portions of the Software. |
| * |
| * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| * SOFTWARE. |
| */ |
| #ifndef ARM_COMPUTE_TEST_REDUCTION_OPERATION_FIXTURE |
| #define ARM_COMPUTE_TEST_REDUCTION_OPERATION_FIXTURE |
| |
| #include "arm_compute/core/TensorShape.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| #include "arm_compute/runtime/Tensor.h" |
| #include "tests/AssetsLibrary.h" |
| #include "tests/Globals.h" |
| #include "tests/IAccessor.h" |
| #include "tests/framework/Asserts.h" |
| #include "tests/framework/Fixture.h" |
| #include "tests/validation/reference/ReductionOperation.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |
| class ReductionOperationValidationFixture : public framework::Fixture |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape shape, DataType data_type, unsigned int axis, ReductionOperation op, QuantizationInfo quantization_info, bool keep_dims = false) |
| { |
| const bool is_arg_min_max = (op == ReductionOperation::ARG_IDX_MAX) || (op == ReductionOperation::ARG_IDX_MIN); |
| _keep_dims = keep_dims && !is_arg_min_max; |
| |
| const TensorShape output_shape = arm_compute::misc::shape_calculator::compute_reduced_shape(shape, axis, _keep_dims); |
| |
| _target = compute_target(shape, data_type, axis, op, quantization_info); |
| _reference = compute_reference(shape, output_shape, data_type, axis, op, quantization_info); |
| } |
| |
| protected: |
| template <typename U> |
| void fill(U &&tensor) |
| { |
| if(!is_data_type_quantized(tensor.data_type())) |
| { |
| std::uniform_real_distribution<> distribution(-1.0f, 1.0f); |
| library->fill(tensor, distribution, 0); |
| } |
| else |
| { |
| std::pair<int, int> bounds = get_quantized_bounds(tensor.quantization_info(), -1.0f, 1.0f); |
| std::uniform_int_distribution<uint8_t> distribution(bounds.first, bounds.second); |
| |
| library->fill(tensor, distribution, 0); |
| } |
| } |
| |
| TensorType compute_target(const TensorShape &src_shape, DataType data_type, unsigned int axis, ReductionOperation op, QuantizationInfo quantization_info) |
| { |
| // Create tensors |
| TensorType src = create_tensor<TensorType>(src_shape, data_type, 1, quantization_info); |
| TensorType dst; |
| |
| // Create and configure function |
| FunctionType reduction_func; |
| reduction_func.configure(&src, &dst, axis, op, _keep_dims); |
| |
| ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| |
| // Allocate tensors |
| src.allocator()->allocate(); |
| dst.allocator()->allocate(); |
| |
| ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| |
| // Fill tensors |
| fill(AccessorType(src)); |
| |
| // Compute function |
| reduction_func.run(); |
| |
| return dst; |
| } |
| |
| SimpleTensor<T> compute_reference(const TensorShape &src_shape, const TensorShape &dst_shape, DataType data_type, unsigned int axis, ReductionOperation op, QuantizationInfo quantization_info) |
| { |
| // Create reference |
| SimpleTensor<T> src{ src_shape, data_type, 1, quantization_info }; |
| |
| // Fill reference |
| fill(src); |
| |
| return reference::reduction_operation<T, T>(src, dst_shape, axis, op); |
| } |
| |
| TensorType _target{}; |
| SimpleTensor<T> _reference{}; |
| |
| private: |
| bool _keep_dims{ false }; |
| }; |
| |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |
| class ReductionOperationQuantizedFixture : public ReductionOperationValidationFixture<TensorType, AccessorType, FunctionType, T> |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape shape, DataType data_type, unsigned int axis, ReductionOperation op, QuantizationInfo quantization_info = QuantizationInfo(), bool keep_dims = false) |
| { |
| ReductionOperationValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, axis, op, quantization_info, keep_dims); |
| } |
| }; |
| |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |
| class ReductionOperationFixture : public ReductionOperationValidationFixture<TensorType, AccessorType, FunctionType, T> |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape shape, DataType data_type, unsigned int axis, ReductionOperation op, bool keep_dims = false) |
| { |
| ReductionOperationValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, axis, op, QuantizationInfo(), keep_dims); |
| } |
| }; |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_REDUCTION_OPERATION_FIXTURE */ |